Irrigation Advisory Services: Farmers preferences and willingness to pay for innovation

2021 ◽  
pp. 003072702110028
Author(s):  
Filiberto Altobelli ◽  
Anna Dalla Marta ◽  
Marius Heinen ◽  
Claire Jacobs ◽  
Elisa Giampietri ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Risk Attitude ◽  
Individual Risk ◽  
Scheme Design ◽  
Weather Forecasts ◽  
Advisory Services ◽  
Irrigation Water Use ◽  
Specific Scheme ◽  
Original Survey ◽  
The Individual

Irrigation Advisory Services (IAS) are powerful management instruments aiming to achieve the best efficiency in irrigation water use. So far the literature on farmers’ preferences for a specific scheme design of IAS’ characteristics and the related willingness to pay (WTP) is scant. This study provides evidence on farmers’ preference towards six attributes related to the IAS configuration by using a hypothetical choice experiment. Data were collected from an original survey among 108 farmers from Spain, The Netherlands, Italy, Poland and South Africa. Moreover, we investigated the interplay between these preferences and the individual risk attitude (elicited through a lottery task) as a novel contribution. On average, the results suggest a clear farmers’ preference, especially for receiving weather forecasts from the service and for the feature related to water data recording; as the opposite, on average, crop water requirement seems irrelevant. Finally, we found that farmers’ WTP for the different IAS services varies across countries and, in some cases, also according to the individual risk attitude.

Farmers’ willingness to pay for an environmental certification scheme: Promising evidence for water saving

2019 ◽  
Vol 48 (2) ◽  
pp. 136-142 ◽  
Author(s):  
F Altobelli ◽  
A Monteleone ◽  
O Cimino ◽  
A Dalla Marta ◽  
S Orlandini ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Environmental Sustainability ◽  
Technical Assistance ◽  
Agricultural Product ◽  
Environmental Certification ◽  
Scheme Design ◽  
Wide Range ◽  
Specific Scheme ◽  
Original Survey ◽  
To Receive

In recent years, the certification of environmental sustainability has been adopted by a large number of farms. A wide range of recent literature proved consumers’ preference and willingness to pay (WTP) for certification claiming for reduced environmental impact of food production, whereas the literature on farmers’ preference for a specific scheme design is scant. This study aims at investigating the possibilities of developing an environmental certification (EC) for agricultural products that is more tailored to farmers’ expectations. Data from an original survey among 116 producers from Italy, Croatia, and Greece were used to investigate the most preferred elements of a hypothetical EC for a general agricultural product, by means of a choice experiment. Although differences emerge in relation to the nationality of respondents, the results on average suggest a clear preference and a higher WTP by farmers for a certification that may guarantee an efficient use of water resources. Furthermore, farmers are found to be more inclined toward a public certifying body and the possibility to receive technical assistance for the scheme adoption.

scholarly journals Credit Risk Contagion Based on Asymmetric Information Association

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Shanshan Jiang ◽  
Hong Fan ◽  
Min Xia
Keyword(s):  
Asymmetric Information ◽  
Credit Risk ◽  
Financial Market ◽  
Risk Attitude ◽  
Individual Risk ◽  
Complex Network Theory ◽  
Structure Information ◽  
The Individual ◽  
Credit Risk Contagion ◽  
Information Association

The study of the contagion law of credit risk is very important for financial market supervision. The existing credit risk contagion models based on complex network theory assume that the information between individuals in the network is symmetrical and analyze the proportion of the individuals infected by the credit risk from a macro perspective. However, how individuals are infected from a microscopic perspective is not clear, besides the level of the infection of the individuals is characterized by only two states: completely infected or not infected, which is not realistic. In this paper, a credit risk contagion model based on asymmetric information association is proposed. The model can effectively describe the correlation among individuals with credit risk. The model can analyze how the risk individuals are infected in the network and can effectively reflect the risk contagion degree of the individual. This paper further analyzes the influence of network structure, information association, individual risk attitude, financial market supervision intensity, and individual risk resisting ability on individual risk contagion. The correctness of the model is verified by theoretical deduction and numerical simulation.

scholarly journals Evolution of the Individual Attitude in the Risk Decision of Waste Incinerator Construction: Cellular Automaton Model

2020 ◽  
Vol 12 (1) ◽  
pp. 368
Author(s):  
Jinbu Zhao ◽  
Yongyou Nie ◽  
Kui Liu ◽  
Jizhi Zhou
Keyword(s):  
Social Interaction ◽  
Cellular Automaton ◽  
Evaluation Method ◽  
Risk Attitude ◽  
Cellular Automaton Model ◽  
Individual Risk ◽  
Waste Incinerator ◽  
Decision Strategy ◽  
Sheep Flock ◽  
The Individual

In current work, the phenomenon of NIMBY (not in my back yard) for a municipal solid waste incinerator was recognized through an investigation for the evolution of individual risk attitude to group risk attitude (ItGRA). The cellular automaton model was employed to evaluate the risk attitude status with different frequencies of social interaction between residents. In the simulation case, the risk attitude of residents in the pseudo-rational state and non-pseudo-rational state was evaluated, which indicates the sheep-flock effect on the exaggeration of public NIMBY attitude. To the incinerator, the individual risk attitude evolved to supportive group risk attitude at a social interaction frequency 100 times higher than that in family or local neighborhoods, when the initial number of residents in opposition and support was equal. This was supported by the result of the model in the evaluation of resident risk attitude around the incinerator in Shanghai. On the contrary, for those in a non-pseudo-rational state, the ultimate group risk attitude depends on the probability that the residents have a supportive or opposing risk attitude as the concept of individuals was difficult to change. Accordingly, the decision strategy of incinerator construction should consider the influence of the sheep-flock effect, which can increase the attitude of residents in support and lead to the evolution of a group risk attitude to support attitude. Therefore, this study provides insight into the evolution of public attitude to NIMBY attitude and a promising evaluation method to quantify and guide the individual and group risk attitudes.

scholarly journals What Are Investors Afraid of? Finding the Big Bad Wolf

2019 ◽  
Vol 7 (3) ◽  
pp. 42
Author(s):  
Barbara Alemanni ◽  
Pierpaolo Uberti
Keyword(s):  
Risk Taking ◽  
Asset Allocation ◽  
Financial Risk ◽  
Risk Attitude ◽  
Individual Risk ◽  
Revealed Preferences ◽  
Relevant Variable ◽  
Gender And Age ◽  
The Individual ◽  
Individual Choices

The aim of financial institutions and regulators is to find an effective way to measure the risk profile of different segments of investors. Both economists and psychologists developed several methodologies to elicit and assess individual risk attitude, but these are not perfect and show several drawbacks when used in practice. Thanks to a unique database of around 15,000 investors, this paper combines survey-based evidence with revealed preferences based upon observed asset allocation. This paper confirms some results known in the literature like the gender and age differences in risk-taking. Moreover, the behavioral clustering approach used for the analysis is useful in an inferential framework. The segments built starting from the questionnaire permit to “forecast” the individual risk attitude that is described by the individual choices in terms of asset allocation. Loss aversion per se is a relevant variable in explaining financial risk-taking.

The importance and significance of gene polymorphisms in preeclampsia

2016 ◽  
pp. 45-49
Author(s):  
P.N. Veropotvelyan ◽  
◽  
I.S. Tsehmistrenko ◽  
N.P. Veropotvelyan ◽  
N.S. Rusak ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Systematic Review ◽  
Early Diagnosis ◽  
Gene Polymorphisms ◽  
Individual Risk ◽  
Extended Study ◽  
Stress Genes ◽  
Detoxification System ◽  
The Individual ◽  
The Relationship

Was to conduct a systematic review of data on the relationship between polymorphisms genes of detoxification system and development of preeclampsia (РЕ). Рresents the main genes of detoxification system (GSTPI, GSTМI, GSTТI, GРХI, ЕРНХI, SOD-2, SOD-3, CYPIAL, MTHЕR, MTR) and their functions. Of interest is the possibility of calculating the individual risk of PE based on the results about the presence of a combination of different polymorphisms in the genotype of the female. Question about early diagnosis of РЕ remains controversial and not fully understood. It is necessary to conduct further in-depth, extended study of this problem. Key words: preeclampsia, oxidative stress, genes of the detoxification system.

Differentiation of endemic areas by incidence rates of tick-borne infectious diseases as the basis for choosing prevention strategy and tactics

2019 ◽  
pp. 56-61
Author(s):  
N.V. Rudakov ◽  
N.A. Penyevskaya ◽  
D.A. Saveliev ◽  
S.A. Rudakova ◽  
C.V. Shtrek ◽  
...  
Keyword(s):  
High Risk ◽  
Infectious Diseases ◽  
Population Based ◽  
Preventive Therapy ◽  
Incidence Rates ◽  
Prevention Strategy ◽  
Individual Risk ◽  
The Individual ◽  
Integral Assessment ◽  
Very High

Research objective. Differentiation of natural focal areas of Western Siberia by integral incidence rates of tick-borne infectious diseases for determination of the strategy and tactics of their comprehensive prevention. Materials and methods. A retrospective analysis of official statistics for the period 2002-2018 for eight sub-federal units in the context of administrative territories was carried out. The criteria of differentiation were determined by means of three evaluation scales, including long-term mean rates of tick-borne encephalitis, tick-borne borreliosis, and Siberian tick-borne typhus. As a scale gradation tool, we used the number of sample elements between the confidence boundaries of the median. The integral assessment was carried out by the sum of points corresponding to the incidence rates for each of the analyzed infections. Results. The areas of low, medium, above average, high and very high risk of tick-borne infectious diseases were determined. Recommendations on the choice of prevention strategy and tactics were given. In areas of very high and high incidence rates, a combination of population-based and individual prevention strategies is preferable while in other areas a combination of high-risk and individual strategies is recommended. Discussion. Epidemiologic zoning should be the basis of a risk-based approach to determining optimal volumes and directions of preventive measures against natural focal infections. It is necessary to improve the means and methods of determining the individual risk of getting infected and developing tick-borne infectious diseases in case of bites, in view of mixed infection of vectors, as well as methods of post-exposure disease prevention (preventive therapy).

scholarly journals A New Medical Record Proposal to the Prognostic Risk Assessment for MRONJ in Oncologic Patients: “Sapienza Head and Neck Unit” Proposal

2021 ◽  
Vol 18 (4) ◽  
pp. 1851
Author(s):  
Edoardo Brauner ◽  
Silvia Mezi ◽  
Alessandro Ciolfi ◽  
Chiara Ciolfi ◽  
Resi Pucci ◽  
...  
Keyword(s):  
Multidisciplinary Approach ◽  
Bone Cancer ◽  
Osteonecrosis Of The Jaw ◽  
Individual Risk ◽  
Medical Report ◽  
Oncologic Patients ◽  
Antiangiogenic Drugs ◽  
Dental Screening ◽  
The Individual

Medication-related osteonecrosis of the jaw (MRONJ) is an adverse event associated with antiresorptive and antiangiogenic drugs. The use of these drugs in the treatment of cancer patients with bone metastasis is necessary and standardized in the literature. A multidisciplinary approach for the patient’s management is strongly recommended. Therefore, it should be necessary to integrate the path of these subjects with a dedicated dental screening in order to first assess the individual risk of developing a MRONJ, and then to plan dental treatments and oral hygiene sessions, and finally to schedule a follow-up to intercept and treat early osteonecrosis. The aim of this manuscript is to propose a new simple medical report to evaluate patients affected by metastatic bone cancer in order to reduce the risk of developing MRONJ.

Prediction of pre-eclampsia

2021 ◽  
pp. 1753495X2098401
Author(s):  
Konstantinos Giannakou
Keyword(s):  
Early Recognition ◽  
Routine Care ◽  
Current Evidence ◽  
Individual Risk ◽  
Negative Consequences ◽  
Predictive Tool ◽  
Mortality And Morbidity ◽  
Maternal Mortality And Morbidity ◽  
Conducting Research ◽  
The Individual

Pre-eclampsia is a leading cause of neonatal and maternal mortality and morbidity that complicates approximately 2–8% of all pregnancies worldwide. The precise cause of pre-eclampsia is not completely understood, with several environmental, genetic, and maternal factors involved in its pathogenesis and pathophysiology. An accurate predictor of pre-eclampsia will facilitate early recognition, close surveillance according to the individual risk and early intervention, and reduce the negative consequences of the disorder. Current evidence shows that no single test predicts pre-eclampsia with sufficient accuracy to be clinically useful. A combination of markers into multiparametric models may provide a more useful and feasible predictive tool for pre-eclampsia screening in the routine care setting than a test of either component alone. This review presents a summary of the current advances on prediction of pre-eclampsia, highlighting their performance and applicability. Key priorities when conducting research on predicting pre-eclampsia are also analyzed.

scholarly journals Financial and Labor Benefits of the Individual TB Risk Assessment Model for Annual TB Screening

2020 ◽  
Vol 41 (S1) ◽  
pp. s234-s234
Author(s):  
Kristin Sims ◽  
Roger Stienecker
Keyword(s):  
Risk Assessment ◽  
Health Care ◽  
Assessment Model ◽  
Health Care Personnel ◽  
Individual Risk ◽  
Tuberculosis Screening ◽  
Hospital System ◽  
National Tuberculosis ◽  
The Individual ◽  
The Cost

Background: Since 1991, US tuberculosis (TB) rates have declined, including among health care personnel (HCP). Non–US born persons accounted for approximately two-thirds of cases. Serial TB testing has limitations in populations at low risk; it is expensive and labor intensive. Method: We moved a large hospital system from facility-level risk stratification to an individual risk model to guide TB screening based on Tuberculosis Screening, Testing, and Treatment of US Health Care Personnel: Recommendations from the National Tuberculosis Controllers Association and CDC, 2019. This process included individual TB risk assessment, symptom evaluation, TB testing for M. tuberculosis infection (by either IGRA or TST) for HCP without documented evidence of prior LTBI or TB disease, with an additional workup for TB disease for HCP with positive test results or symptoms compatible with TB disease. In addition, employees with specific job codes deemed high risk were required to undergo TB screening. Result: In 2018, this hospital system of ~10,000 employees screened 7,556 HCP for TB at a cost of $348,625. In 2019, the cost of the T Spot test increased from $45 to $100 and the cost of screening 5,754 HCP through October 31, 2019, was $543,057. In 2020, it is anticipated that 755 HCP will be screened, saving the hospital an estimated minimum of $467,557. The labor burden associated with employee health personnel will fall from ~629.66 hours to 62.91 hours. The labor burden associated with pulling HCPs from the bedside to be screened will be reduced from 629.66 hours to 62.91 hours as well. Conclusion: Adoption of the individual risk assessment model for TB screening based on Tuberculosis Screening, Testing, and Treatment of US Health Care Personnel: Recommendations from the National Tuberculosis Controllers Association and CDC, 2019 will greatly reduce financial and labor burdens in healthcare settings when implemented.Funding: NoneDisclosures: None

Clinical Score and Machine Learning-Based Model to Predict Diagnosis of Primary Aldosteronism in Arterial Hypertension

Hypertension ◽  
2021 ◽  
Vol 78 (5) ◽  
pp. 1595-1604
Author(s):  
Fabrizio Buffolo ◽  
Jacopo Burrello ◽  
Alessio Burrello ◽  
Daniel Heinrich ◽  
Christian Adolf ◽  
...  
Keyword(s):  
Machine Learning ◽  
Arterial Hypertension ◽  
Primary Aldosteronism ◽  
Learning Algorithm ◽  
Area Under The Curve ◽  
Clinical Score ◽  
Machine Learning Algorithms ◽  
Supervised Machine Learning ◽  
Individual Risk ◽  
The Individual

Primary aldosteronism (PA) is the cause of arterial hypertension in 4% to 6% of patients, and 30% of patients with PA are affected by unilateral and surgically curable forms. Current guidelines recommend screening for PA ≈50% of patients with hypertension on the basis of individual factors, while some experts suggest screening all patients with hypertension. To define the risk of PA and tailor the diagnostic workup to the individual risk of each patient, we developed a conventional scoring system and supervised machine learning algorithms using a retrospective cohort of 4059 patients with hypertension. On the basis of 6 widely available parameters, we developed a numerical score and 308 machine learning-based models, selecting the one with the highest diagnostic performance. After validation, we obtained high predictive performance with our score (optimized sensitivity of 90.7% for PA and 92.3% for unilateral PA [UPA]). The machine learning-based model provided the highest performance, with an area under the curve of 0.834 for PA and 0.905 for diagnosis of UPA, with optimized sensitivity of 96.6% for PA, and 100.0% for UPA, at validation. The application of the predicting tools allowed the identification of a subgroup of patients with very low risk of PA (0.6% for both models) and null probability of having UPA. In conclusion, this score and the machine learning algorithm can accurately predict the individual pretest probability of PA in patients with hypertension and circumvent screening in up to 32.7% of patients using a machine learning-based model, without omitting patients with surgically curable UPA.

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